House Rocket is a digital platform whose business model is the purchase and sale of real estate using technology.
As a Data Scientist contract by the company to help you find the best business opportunities in the real estate market. House Rocket's CEO would like to maximize the company's revenue by finding good business opportunities.
The main strategy is to buy good houses at great incomes at low prices and then resell them later at higher prices. The greater the difference between buying and selling, the greater the company's profit and therefore the greater its revenue.
However, houses have many attributes that make them more or less attractive to buyers and sellers, and location and time of year can also drive prices.
Idea taken from: https://sejaumdatascientist.com/os-5-projetos-de-data-science-que-fara-o-recrutador-olhar-para-voce/
import pandas as pd
from pandas_profiling import ProfileReport
import seaborn as sns
from datetime import date, datetime
from sklearn.model_selection import train_test_split
import geopandas as gpd
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv('kc_house_data.csv')
profile = ProfileReport(df)
profile